This brief discusses Seassoon’s text detection solution which inferences data input for cognitive decision-making. It highlights how utilizing Intel Optimizations for PyTorch and Image
Detection enabled Seassoon to achieve 3X faster Inferencing and avoid the need for a more costly and complex GPU solution.
This brief discusses ICETech vision computing-based systems that automatically identify vehicles and license plates in unattended smart parking operations, allowing them to run more efficiently. Optimizing for OpenVINO and quantizing for INT8 using the Post Training Optimization toolkit (POT) and inferencing
with Intel DL Boost (VNNI) improved ICETech’s inferencing performance with minimal impact on accuracy.
MaxQ AI uses the phrase ‘Data Industrialization’ to represent the end-to-end life cycle for data mining and treatment in support of software-based medical devices. This white paper explores the methods MaxQ uses to help ensure the utmost security during Data Industrialization within the use of their products.
This Solution Brief highlights how Intel optimizations of Winning Health’s Bone Age Assessment (BAA) model helped greatly reduce image analysis time enabling large scalability of SaaS solution for hospitals and clinicians on cloud platforms.
This white paper discusses ACCIPIO, a software device designed to be installed within healthcare facilities’ radiology networks to identify and prioritize NCCT scans based on algorithmically identified findings of acute intracranial hemorrhage (aICH).
This solution brief highlights how NimbleBox’s platform utilizes Intel® Distribution of OpenVINO™ toolkit and Intel optimizations for machine learning frameworks and languages boost inferencing on popular AI models running on Intel CPUs.
This solution brief highlights how GIGABYTE was able to improve their AI workloads by implementing a TensorFlow framework with Intel Distribution of OpenVINO toolkit and utilizing 2nd Gen Intel Xeon Scalable processors with Intel DL Boost in a GIGABYTE system.
This solution brief highlights how, to help optimize the performance of the full-cycle AI medical imaging solution, Intel offered HYHY technologies such as 2nd Gen Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost) as the core processing engine of this solution, and software optimization tools such as the OpenVINO™ toolkit and Intel® Distribution for Python with HYHY seeing significant improvements to inference speed in image analysis scenarios such as COVID-19 screening and breast cancer detecting.
This solution brief highlights how the Paperspace Gradient platform optimizes machine learning pipelines and
delivers faster inferencing and lower query latency on 2nd Gen Intel® Xeon®
processors using Intel Distribution of OpenVINO™ toolkit and Intel Distribution of OpenVINO Model Server
This white paper highlights the HCL Social Distance Monitoring solution and how the application is optimized with Intel® Distribution of OpenVINO™ Toolkit and can run inference algorithms across a variety of Intel enabled edge/data center devices.
This white paper highlights the key drivers of IDP adoption
in enterprises and introduces Wipro HOLMES® Invoice Processing solution, powered by Intel® Xeon® Scalable processors, for cognitive invoice
This white paper highlights the auto creation of task flow from the video by identifying the actions performed
in the video and introduces Wipro HOLMES® Mimictron solution on Intel Xeon Scalable for RPA capabilities. The goal is to accelerate and simplify RPA implementation for enterprises to drive
superior business outcomes.
This Solution Brief highlights how the Flutura Cerebra VISION Intelligence platform can help detect and alert
personnel to potential real-time safety violations in an industrial environment.
Cerebra VISION Intelligence analyzes video data from thermal cameras, industrial cameras, CCTVs, drones, and other sources.
This Solution Brief highlights how, as the magnitude of the patient care load increased at Capital Health
hospital in New Jersey, MaxQ AI’s Accipio Ix has proven to be a seamless,
powerful, and simple solution assisting the skilled physician team.
Correctly identifying suspected intracranial hemorrhage (ICH) could help prevent the in-error administration of tPA to a stroke patient. Assistance in ICH identification for stroke treatment care can make a difference. This case study outlines the impact of utilizing AI solutions to empower the physician treatment decision.
Previously missed ICH, could become a possible “never event.” During
the evaluation of MaxQ AI’s ACCIPIO ICH and Stroke Platform at an acute
hospital facility, this was the goal. For stroke patients, early adoption of
this AI solution could have an impact to critical decisions in the treatment
path and save precious time. This case study outlines the impact of
utilizing AI solutions to empower the physician treatment decision.
This White Paper highlights the Wahtari Inline quality control solution that uses Intel AI for 360 degree surface inspection of tube-shaped products on the edge with just gold samples.
This Solution Brief highlights how Huiying Medical (HYHY), a leading developer of healthcare technology solutions in China, have successfully deployed a system for early detection and diagnosis of COVID-19 infections using CT scans, complementing RT-PCR testing and helping identify suspected cases where lab testing is not readily accessible.
This Product Brief highlights how HooBOX’s Wheelie is a kit that allows people to drive their wheelchair using facial expressions giving back autonomy and mobility to them. Using their own technology to recognize the expressions, wheelie is a kit with a few items that can allow any person that is not able to move the wheelchair by themselves to be independent. The kit comes with a Intel® Realsense™ Depth Camera, Intel® NUC Mini PC, a mechanical hand and all its cables. Implementing Intel® Distribution of OpenVINO™ toolkit with the CPU improved inference performance, resulting in a faster execution of a responsive motion change for both a comfortable experience and user safety.
This Product Brief highlights how MaxQ AI’s Accipio Ix solution applies augmented machine learning to automatically analyze CT scan images. This accelerated image processing and computation flow enables physicians to prioritize patients when time is of the utmost importance. This technology is designed to be natively integrated into CT and PACS within the existing workflow to help clinicians assess patients suspected of acute head trauma or stroke, where intracranial hemorrhage may be present.Accipio Ix has received both FDA clearance and CE Mark certification. In addition, MaxQ has partnerships with top CT and PACS companies including GE Healthcare, Samsung Neurologica and IBM Watson.